Job Description
Employment Type: Full-Time Location: Remote About the Role We are looking for a Senior AI Engineer with strong full-stack capabilities to join our engineering team. You will work across multiple client-facing projects that sit at the intersection of AI, data, and web—starting with a live production AI agent platform. You should be comfortable owning features end-to-end, from LLM pipeline design through to a polished frontend experience. What You'll Do AI Agent Engineering Design and build AI agent pipelines, including multi-node LangGraph graphs. Implement intent routing, multi-turn conversational context, session state management, and tool integrations. Develop multi-step reasoning pipelines and graph-based agent workflows. RAG & Knowledge Systems Build and maintain Retrieval-Augmented Generation (RAG) systems. Design vector search architectures, embedding pipelines, retrieval grounding, and chunking strategies. Implement hallucination mitigation techniques and retrieval evaluation frameworks. LLM Integration & Optimization Integrate and optimize Large Language Models (LLMs) including OpenAI, Gemini, and Anthropic. Develop structured output workflows using JSON schemas. Create effective prompt engineering strategies, few-shot examples, and context window management solutions. Build provider-neutral client architectures to support multiple LLM vendors. Full-Stack Development Design, develop, and deploy end-to-end product features. Build scalable FastAPI backends and React/Next.js frontends. Implement Server-Sent Events (SSE) streaming and REST API contracts. Deliver production-ready UI features independently without requiring dedicated frontend support. Observability & Quality Own LLM observability including: Token usage logging Cost tracking Fallback detection Performance monitoring Regression test suites Build evaluation pipelines and golden test suites to ensure AI quality and consistency. Client & Product Collaboration Collaborate directly with clients and stake
